International Journal on Science and Technology

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Distributed Database Systems for Scalable Enterprise Applications: A New Paradigm

Author(s) Solomon Raju Chigurupati
Country United States
Abstract The growing demands of enterprise applications necessitate innovative approaches to database scalability,fault tolerance, and real-time data access. This article explores a novel architecture for distributed databasesystems, integrating edge computing principles and blockchain-inspired consensus algorithms to achieveoptimal performance. Decentralized load-balancing techniques and fault-tolerant mechanisms redefinescalability for data-intensive industries like e-commerce and banking. Simulations illustrate significantgains in throughput and query responses during peak traffic, showcasing the architecture's capacity tohandle dynamic workloads efficiently. Unlike traditional centralized systems, this approach ensuresdistributed fault recovery, enhancing resilience under extreme transaction volumes. The integration ofconsensus mechanisms further strengthens data integrity and security across distributed nodes. Byaddressing challenges in data replication, synchronization, and fault recovery, this work presents atransformative model for enterprise data infrastructure. The exploration also examines the role of AI inoptimizing distributed systems, establishing a roadmap for scalable, efficient, and robust database solutions.
Keywords Blockchain Consensus, Distributed Databases, Edge Computing, Fault Tolerance, Scalability
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-28
Cite This Distributed Database Systems for Scalable Enterprise Applications: A New Paradigm - Solomon Raju Chigurupati - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2795
DOI https://doi.org/10.71097/IJSAT.v16.i1.2795
Short DOI https://doi.org/g896f2
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